| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| base_model: muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer | |
| model-index: | |
| - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-rte | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-rte | |
| This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.9954 | |
| - Accuracy: 0.4729 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 3e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: constant | |
| - training_steps: 5000 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.693 | 6.41 | 500 | 0.6947 | 0.4549 | | |
| | 0.6248 | 12.82 | 1000 | 0.8627 | 0.4729 | | |
| | 0.4602 | 19.23 | 1500 | 1.1278 | 0.4657 | | |
| | 0.3484 | 25.64 | 2000 | 1.3214 | 0.4801 | | |
| | 0.2599 | 32.05 | 2500 | 1.6232 | 0.4693 | | |
| | 0.2052 | 38.46 | 3000 | 1.7684 | 0.4801 | | |
| | 0.1667 | 44.87 | 3500 | 1.9954 | 0.4729 | | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.1.dev0 | |
| - Tokenizers 0.13.2 | |